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Generative AI
2,792,004 Views · 4 years ago

Watch highlights from RED and NVIDIA’s Dec. 12, 2018, event where they jointly announced upcoming availability of NVIDIA CUDA-accelerated REDCODE RAW decode SDK and REDCINE-X, giving software developers and studios a powerful new way to work with 5K, 6K or 8K video. Developers interested in participating in the private beta can contact [email protected]. Public beta begins January 2019.

Generative AI
3,158,441 Views · 4 years ago

MarI/O is a program made of neural networks and genetic algorithms that kicks butt at Super Mario World.
Source Code: http://pastebin.com/ZZmSNaHX
"NEAT" Paper: http://nn.cs.utexas.edu/downlo....ads/papers/stanley.e
Some relevant Wikipedia links:
https://en.wikipedia.org/wiki/Neuroevolution
https://en.wikipedia.org/wiki/....Evolutionary_algorit
https://en.wikipedia.org/wiki/....Artificial_neural_ne
BizHawk Emulator: http://tasvideos.org/BizHawk.html

SethBling Twitter: http://twitter.com/sethbling
SethBling Twitch: http://twitch.tv/sethbling
SethBling Facebook: http://facebook.com/sethbling
SethBling Website: http://sethbling.com
SethBling Shirts: http://sethbling.spreadshirt.com
Suggest Ideas: http://reddit.com/r/SethBlingSuggestions

Music at the end is Cipher by Kevin MacLeod

Generative AI
2,617,416 Views · 4 years ago

This video explains the Transformer architecture in a very detailed way, including most math formulas in the paper, and the neural network operations behind it. The Transformer is the foundation of many powerful language models like BERT, GPT3, RoBERTa, XLNET, ELECTRA, T5. Understanding how it works in detail might help you modify, optimize, or improve it in the way you want.


Connect
Linkedin https://www.linkedin.com/in/xue-yong-fu-955723a6/
Twitter https://twitter.com/home
Email [email protected]

0:00 - Intro
1:10 - Architecture overview
1:56 - Encoder
3:58 - Residual connection & layer normalization
6:59 - Decoder
11:14 - Attention mechanism
14:30 - Scaled dot-product attention
20:22 - Learned projection layers
26:32 - Multi-head attention
28-39 - Encoder-decoder attention
31:18 - Encoder self-attention
31:34 - Decoder self-attention
33:58 - Position-wise feedforward network
36:41 - Word embedding
39:34 - Positional encoding
47:37 - Why self-attention

What Is GPT-3 Series
https://www.youtube.com/playli....st?list=PLoS8jSwcU-c

Paper: Attention Is All You Need
https://arxiv.org/abs/1706.03762

Abstract
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks that include an encoder and a decoder. The best
performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the WMT 2014 English- to-German translation task, improving over the existing best results, including ensembles, by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.0 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature. We show that the Transformer generalizes well to other tasks by applying it successfully to English constituency parsing both with large and limited training data.

Generative AI
4,862 Views · 3 years ago

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/python-....programming-certific
This Edureka "𝐏𝐲𝐭𝐡𝐨𝐧 𝐅𝐮𝐥𝐥 𝐂𝐨𝐮𝐫𝐬𝐞" video will help you learn the Python programming language and core python concepts with examples from scratch. This python tutorial for beginners is the best video to start learning python programming language with examples.

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Generative AI
5,615 Views · 3 years ago

🔥Edureka DevOps Training: https://www.edureka.co/devops-....certification-traini
This Edureka "Docker Compose Tutorial" will take you through the fundamentals of Docker Compose and its role in multi-container applications. You will learn what Docker and Docker compose is, the benefits of Docker compose, microservices, and how to write a compose file, basic commands of docker-compose, and finally, a demo on docker-compose where you set up and run a Django-based application using Docker-Compose.
The following are the topics covered in the tutorial:
00:00 Agenda
01:25 What is Docker?
05:35 Why Docker-Compose
10:45 What is Docker-Compose?
15:10 Docker-Compose Installation
19:45 Docker-Compose Hands-on
37:15 Summary

Code Files: https://drive.google.com/drive..../folders/1QcGbSpt21W

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#Edureka #EdurekaDevOps #DockerComposeTutorial #DockerTutorial #DevOpsTraining #DevOpsTutorial
---------------------------------------------------
How it Works?
1. This is a 4 Week Instructor led Online Course.
2. Course consists of 24 hours of online classes, 25 hours of assignment, 20 hours of project
3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

- - - - - - - - - - - - - -

About the Course
Edureka’s DevOps online training is designed to help you master key tools of Devops lifecycle like Docker, Puppet, Jenkins, Nagios, GIT, Ansible, SaltStack and Chef used by a DevOps Engineer for automating multiple steps in SDLC. During this course, our expert DevOps instructors will help you:

1. Understand the concepts and necessities of DevOps
2. Understand the need for DevOps and the day-to-day real-life problems it resolves
3. Learn installation and configuration of common infrastructure servers like Apache, and Nginx for the Enterprise
4. Learn popular DevOps tools like Jenkins, Puppet, Chef, Ansible, SaltStack, Nagios and GIT
5. Implement automated system update, installations and deployments
6. Learn Virtualization Concepts
7. Configuration deployment and packaging, continuous integration using GIT
8. Fine tune Performance and set-up basic Security for Infrastructure
9. Manage server operations using Code which is popularly known as Infrastructure as a Code
10. Understand the need for and concepts of Monitoring and Logging.

Along with the above mentioned topics, to help you master the most popular DevOps tools, you will also receive 3 additional self-paced courses including presentations, class recordings, assignments, solutions for the following tools:

1: Ansible - Covers Introduction, Setup & Configuration, Ansible Playbooks, 37 Ansible Modules, Different Roles and Command Line usage. 2: Chef - Covers Introduction, Building the Cook Book, Node Object & Search, Data-bags, Chef environment, Roles, Deploying Nodes in Production and using the Open Source Chef Server.

3: Puppet - Covers Puppet Infrastructure & run-cycle, the Puppet Language, Environment defining Nodes and Modules, Provisioning a Web Server and Executing Modules Against A Puppet Master.

- - - - - - - - - - - - - -

Who should go for this course?
DevOps practitioners are among the highest paid IT professionals today, and the market demand for them is growing rapidly. With emergence of new job roles around DevOps philosophy, anyone aspiring to get into these new roles, can take up this DevOps course. Some of these roles are:

1. DevOps Architect
2. Automation Engineer
3. Software Tester
4. Security Engineer
5. Integration Specialist
6. Release Manager

- - - - - - - - - - - - - -

Project Work
1. Host a dummy webpage using Apache Web Server.
2. Write shell script which reports:
a) Various system configurations related to the user and the OS.
b) Data related to load on the server.
c) Top 5 processes with maximum number of threads.
d) Sort the services by memory
3. Install Nagios on a VM node for monitoring the various parameter of the VM.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Generative AI
3,060 Views · 3 years ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: https://www.edureka.co/python-....programming-certific (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on Tkinter tutorial covers all the basic aspects of creating and making use of your own simple Graphical User Interface (GUI) using Python. It establishes all of the concepts needed to get started with building your own user interfaces while coding in Python.
00:00:00 Introduction
00:00:32 Agenda
00:01:00 What Is A GUI?
00:01:47 Why We Need GUI?
00:02:07 Python Libraries For GUI
00:03:03 Introduction to Tkinter
00:03:45 First Window Using Tkinter
00:05:12 Adding Widgets To Our Application
00:06:16 Label Widget
00:08:23 Entry Widget
00:09:07 Combobox Widget
00:09:51 Checkbutton Widget
00:10:59 Radio Button Widget
00:11:34 Scrolled Text Widget
00:12:04 MessageBox Widget
00:12:49 SpinBox Widget
00:13:48 Geometry Management
00:14:48 Organizing Layout And Widgets
00:18:52 Binding Functions
00:20:12 Event Handling
00:22:53 Images & Icons
00:27:34 Conclusion

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Generative AI
3,448 Views · 3 years ago

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00:00 Big Data In 5 Minutes
00:34 Data generated per minute
00:56 Classification of Big Data
02:00 How to store and process Big Data
03:11 Application of Big Data

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This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, masterclasses, IBM hackathons, and Ask Me Anything sessions.

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Generative AI
3,633 Views · 3 years ago

In this Scrum Master full course, we will explain the most important concepts of the Scrum Methodology. Let's start the scrum training!
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Certified Scrum Master Full Course covers what is scrum, the components of the scrum process, the role of a scrum master, the scrum methodology, how scrum meetings work, how scrum and kanban are different from one another, interview questions, and much more!

Below are the topics we will cover in this video:
00:00:00 What is Scrum
00:34:39 Agile Scrum Master Training
01:58:26 Scrum Master Role and methodology
02:20:40 Scrum Meeting
02:30:09 Scrum Vs. kanban
02:41:50 Scrum Interview Questions

🔥Free ASM Course: https://www.simplilearn.com/agile-scrum-master-basics-skillup?utm_campaign=CertifiedScrumMasterFullCourse&utm_medium=Description&utm_source=youtube

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➡️ Certified ScrumMaster® (CSM) Certification Training Course
This CSM certification course is focused on providing an improved understanding of Scrum methodologies and their implementation. It helps you become a Certified ScrumMaster®, a designation offered by Scrum Alliance to practitioners who have successfully completed a CSM certification course & demonstrate their understanding by passing the exam.

✅ Key Features
- 2 Days of Online Virtual Class
- CSM® exam fee included
- Get trained by globally acclaimed Certified Scrum Trainers (CSTs) with Free Exam Retake
- 20 PDUs and 16 SEUs
- Two-year membership in Scrum Alliance
- Complimentary access to 15 courses* worth INR 25,000

✅ Skills Covered
- Scrum and Agile methodologies
- Importance of Agile
- Scrum lifecycle
- Scrum terminologies
- Daily scrum and review
- Roles involved in Scrum
- Distributed Scrum

👉Learn More at: https://www.simplilearn.com/agile-and-scrum/csm-certification-training?utm_campaign=CertifiedScrumMasterFullCourse-YqAZi5poCmo&utm_medium=Description&utm_source=youtube

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Generative AI
3,566 Views · 3 years ago

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on expectation-maximization in the context of the mixture of Gaussian and naive Bayes models, as well as factor analysis and digression.

This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.

Complete Playlist for the Course:
http://www.youtube.com/view_pl....ay_list?p=A89DCFA6AD

CS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Generative AI
3,640 Views · 3 years ago

In this video I show you how to setup and install GPT4All and create local chatbots with GPT4All and LangChain! Privacy concerns around sending customer and organizational data to OpenAI APIs is a huge issue in AI right now but using local models like GPT4All, LLaMa, Alpaca etc can be a viable alternative.

I did some research and figured out how to make your own version of ChatGPT trained on your own data (PDFs, docs etc) using only open source models like GPT4All which is based on GPT-J or LLaMa depending on the version you use. LangChain has great support for models like these so in this video we use LangChain to integrate LLaMa embeddings with GPT4All and a FAISS local vector database to store out documents.

My AI Consulting Services 👋🏼
Want to speak with me about your next big project? Book here:
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Mentioned in the video:
Code: https://github.com/wombyz/gpt4....all_langchain_chatbo
GPT4ALL (Pre-Converted):
https://huggingface.co/mrgaang..../aira/blob/main/gpt4
Embedding Model:
https://huggingface.co/Pi3141/....alpaca-native-7B-ggm
Mac User Troubleshooting: https://docs.google.com/docume....nt/d/1JDMBTOjbRtJo49

Timestamps:
0:00 - What is GPT4All?
2:28 - Setup & Install
7:13 - LangChain + GPT4All
11:42 - Custom Knowledge Query
19:42 - Chatbot App
24:19 - My Thoughts on GPT4All

About Me 👋🏼
Hi! My name is Liam Ottley and I’m an AI developer and entrepreneur, founder of my own AI development company: Morningside AI (https://morningside.ai). You’ve found my YouTube channel where I help other entrepreneur’s wrap their heads around AI with tutorials on how to get started with building AI apps!

With developments in AI moving so fast, I’m constantly working on my own projects and those of clients and sharing my learnings with my viewers 2-3x per week.

I don’t have anything to sell you, my only hope is that one day some of you will learn enough from my videos to see an exciting opportunity in the AI space and want to work with my development company to make it a reality.

Generative AI
1,525 Views · 3 years ago

Learn the basics of computer vision with deep learning and how to implement the algorithms using Tensorflow.

Author: Folefac Martins from Neuralearn.ai
More Courses: www.neuralearn.ai
Link to Code: https://colab.research.google.....com/drive/18u1KDx-96
YouTube Channel: https://www.youtube.com/@neuralearn

⭐️ Contents ⭐️

Introduction
⌨️ (0:00:00) Welcome
⌨️ (0:05:54) Prerequisite
⌨️ (0:06:11) What we shall Learn

Tensors and Variables
⌨️ (0:12:12) Basics
⌨️ (0:19:26) Initialization and Casting
⌨️ (1:07:31) Indexing
⌨️ (1:16:15) Maths Operations
⌨️ (1:55:02) Linear Algebra Operations
⌨️ (2:56:21) Common TensorFlow Functions
⌨️ (3:50:15) Ragged Tensors
⌨️ (4:01:41) Sparse Tensors
⌨️ (4:04:23) String Tensors
⌨️ (4:07:45) Variables

Building Neural Networks with TensorFlow [Car Price Prediction]
⌨️ (4:14:52) Task Understanding
⌨️ (4:19:47) Data Preparation
⌨️ (4:54:47) Linear Regression Model
⌨️ (5:10:18) Error Sanctioning
⌨️ (5:24:53) Training and Optimization
⌨️ (5:41:22) Performance Measurement
⌨️ (5:44:18) Validation and Testing
⌨️ (6:04:30) Corrective Measures

Building Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (6:28:50) Task Understanding
⌨️ (6:37:40) Data Preparation
⌨️ (6:57:40) Data Visualization
⌨️ (7:00:20) Data Processing
⌨️ (7:08:50) How and Why ConvNets Work
⌨️ (7:56:15) Building Convnets with TensorFlow
⌨️ (8:02:39) Binary Crossentropy Loss
⌨️ (8:10:15) Training Convnets
⌨️ (8:23:33) Model Evaluation and Testing
⌨️ (8:29:15) Loading and Saving Models to Google Drive

Building More Advanced Models in Teno Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (8:47:10) Functional API
⌨️ (9:03:48) Model Subclassing
⌨️ (9:19:05) Custom Layers

Evaluating Classification Models [Malaria Diagnosis]
⌨️ (9:36:45) Precision, Recall and Accuracy
⌨️ (10:00:35) Confusion Matrix
⌨️ (10:10:10) ROC Plots

Improving Model Performance [Malaria Diagnosis]
⌨️ (10:18:10) TensorFlow Callbacks
⌨️ (10:43:55) Learning Rate Scheduling
⌨️ (11:01:25) Model Checkpointing
⌨️ (11:09:25) Mitigating Overfitting and Underfitting

Data Augmentation [Malaria Diagnosis]
⌨️ (11:38:50) Augmentation with tf.image and Keras Layers
⌨️ (12:38:00) Mixup Augmentation
⌨️ (12:56:35) Cutmix Augmentation
⌨️ (13:38:30) Data Augmentation with Albumentations

Advanced TensorFlow Topics [Malaria Diagnosis]
⌨️ (13:58:35) Custom Loss and Metrics
⌨️ (14:18:30) Eager and Graph Modes
⌨️ (14:31:23) Custom Training Loops

Tensorboard Integration [Malaria Diagnosis]
⌨️ (14:57:00) Data Logging
⌨️ (15:29:00) View Model Graphs
⌨️ (15:31:45) Hyperparameter Tuning
⌨️ (15:52:40) Profiling and Visualizations

MLOps with Weights and Biases [Malaria Diagnosis]
⌨️ (16:00:35) Experiment Tracking
⌨️ (16:55:02) Hyperparameter Tuning
⌨️ (17:17:15) Dataset Versioning
⌨️ (18:00:23) Model Versioning

Human Emotions Detection
⌨️ (18:16:55) Data Preparation
⌨️ (18:45:38) Modeling and Training
⌨️ (19:36:42) Data Augmentation
⌨️ (19:54:30) TensorFlow Records

Modern Convolutional Neural Networks [Human Emotions Detection]
⌨️ (20:31:25) AlexNet
⌨️ (20:48:35) VGGNet
⌨️ (20:59:50) ResNet
⌨️ (21:34:07) Coding ResNet from Scratch
⌨️ (21:56:17) MobileNet
⌨️ (22:20:43) EfficientNet

Transfer Learning [Human Emotions Detection]
⌨️ (22:38:15) Feature Extraction
⌨️ (23:02:25) Finetuning

Understanding the Blackbox [Human Emotions Detection]
⌨️ (23:15:33) Visualizing Intermediate Layers
⌨️ (23:36:20) Gradcam method

Transformers in Vision [Human Emotions Detection]
⌨️ (23:57:35) Understanding ViTs
⌨️ (24:51:17) Building ViTs from Scratch
⌨️ (25:42:39) FineTuning Huggingface ViT
⌨️ (26:05:52) Model Evaluation with Wandb

Model Deployment [Human Emotions Detection]
⌨️ (26:27:13) Converting TensorFlow Model to Onnx format
⌨️ (26:52:26) Understanding Quantization
⌨️ (27:13:08) Practical Quantization of Onnx Model
⌨️ (27:22:01) Quantization Aware Training
⌨️ (27:39:55) Conversion to TensorFlow Lite
⌨️ (27:58:28) How APIs work
⌨️ (28:18:28) Building an API with FastAPI
⌨️ (29:39:10) Deploying API to the Cloud
⌨️ (29:51:35) Load Testing with Locust

Object Detection with YOLO
⌨️ (30:05:29) Introduction to Object Detection
⌨️ (30:11:39) Understanding YOLO Algorithm
⌨️ (31:15:17) Dataset Preparation
⌨️ (31:58:27) YOLO Loss
⌨️ (33:02:58) Data Augmentation
⌨️ (33:27:33) Testing

Image Generation
⌨️ (33:59:28) Introduction to Image Generation
⌨️ (34:03:18) Understanding Variational Autoencoders
⌨️ (34:20:46) VAE Training and Digit Generation
⌨️ (35:06:05) Latent Space Visualization
⌨️ (35:21:36) How GANs work
⌨️ (35:43:30) The GAN Loss
⌨️ (36:01:38) Improving GAN Training
⌨️ (36:25:02) Face Generation with GANs

Conclusion
⌨️ (37:15:45) What's Next

Generative AI
7 Views · 3 years ago

🔥Post Graduate Program In Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=13Sep2023LGLoopEvening1-8Ob8Hre_SnI&utm_medium=Descriptionff&utm_source=youtube
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Advanced Excel Full Course 2023 by Simplilearn is complete Excel tutorial that helps aspiring data analysts with excel data analytics fundamentals. This Microsoft Excel Tutorial For Beginners will cover basic topics of excel like data validation, conditional formatting, spreadsheet fundamentals to advanced excel topics like time series analysis, filters, slicers, excel dashboarding, data visualization, and much more.

This Excel Full Course will cover the following topics:
00:00:00 introduction to Microsoft Excel Full Course
00:01:52 Excel Basic Knowledge
00:18:45 How To Change Lower Case To Upper Case In Excel?
00:19:58 How To Add Rows In Excel?
00:21:32 How To Add Columns In Excel?
00:24:29 How To Select Entire Column In Excel?
00:27:16 How to Compare Two Columns In Excel?
00:34:36 How To Convert Rows To Columns In Excel?
00:36:13 How to Group Rows in Excel?
00:37:55 How To Remove Blank Rows In Excel?
00:41:44 How To Freeze Row In Excel Tutorial
00:44:12 How to Convert Numbers to Words in Excel?
00:46:59 Combining Data From Multiple Cells In Excel
00:49:27 How To Merge Cells In Excel
00:54:12 How to Add Date in Excel?
00:55:48 How To Change Date Format In Excel (dd/mm/yyyy) To (mm/dd/yyyy)
00:59:55 How To Calculate Age In Excel From A Date Of Birth?
01:01:37 How To Calculate Time Difference in Excel?
01:03:15 DAX In Excel Explained
01:08:20 Checkboxes In Excel
01:12:31 How to Insert Excel in PPT?
01:14:40 How To Insert Image In Excel?
01:18:05 How To Insert PDF in Excel Sheet?
01:21:40 How To Convert PDF To Excel
01:26:05 How to Insert Tick Mark in Excel?
01:29:05 How to add Watermark in Excel?
01:32:00 How to Increase Cell Size in Excel?
01:34:50 How to create Barcode In Excel
01:38:08 Excel Flash Fill
01:43:00 How to Add Hyperlink In Excel
01:55:44 Excel Round-Off Formula
01:58:18 How To Calculate Standard Deviation In Excel?
02:04:50 Index Match In Excel
02:09:10 How to Sort by Date in Excel?
02:10:40 How to Use AutoSum In Excel
02:13:47 How To Sort Data In Excel?
02:23:56 Slicer and Filter in Excel
02:27:49 How to Add Filters in Excel
02:29:20 Goal Seek In Excel
How to Create Drop-Down List In Excel?
02:44:46 Data Validation In Excel
02:44:50 How To Lock(Protect) Cells In Excel
03:17:55 How To Calculate Average In Excel?
03:18:43 Excel Print Page Setup
03:36:47 Page Break In Excel For Beginners
03:08:53 Conditional Formatting In Excel
03:41:56 How to Count Colored Cells in Excel?
03:47:54 DateDif In Excel Explained
03:51:08 Remove Duplicates In Excel
03:55:05 SUMIFS Formula in Excel
04:02:40 How To Create Pivot Tables In Excel
04:07:00 Autofill In Excel Explained
04:10:22 How to Calculate Percentage In Excel
04:12:08 How To Highlight Duplicates In Excel?
04:16:04 Charts In Excel
04:21:56 Progress Tracker In Excel
04:25:50 Excel Gantt Chart Tutorial
04:28:48 Pivot Tables In Excel
04:57 Pivot Charts in Excel and How to Create a Pivot Table Using Multiple Sheets in Excel
06:45:02 Time Series Analysis in Excel
07:37:00 Excel Dashboard Design
08:47:00 Excel Power Query Tutorial For Beginners
09:44:44 Excel Budget Template
09:51:37 Excel Interview Questions And Answers

⏩ Check out the Excel tutorial videos: https://www.youtube.com/watch?v=nPkmWE4JCfE&list=PLEiEAq2VkUUKf8aLrspLg3zuyJ5S-5K5S

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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

👉 Learn More at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=13Sep2023LGLoopEvening1-8Ob8Hre_SnI&utm_medium=Description&utm_source=youtube

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

Generative AI
5 Views · 3 years ago

Learn the basics of HTML and how to begin coding in this course for beginners.

Are you interested in coding but have never tried it before? Are you curious about how to create your own website or app? If so, then this video course is for you!

✏️ Course developed by @AniaKubow
🔗 Full course: http://codewithania.com/

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:01:34) What is a code editor?
⌨️ (0:03:08) Code editor options
⌨️ (0:03:52) Files files files
⌨️ (0:07:27) HTML Introduction
⌨️ (0:09:27) HTML - what is it exactly?
⌨️ (0:11:53) HTML Syntax
⌨️ (0:17:08) Saving files in your code editor
⌨️ (0:18:19) HTML Anatomy
⌨️ (0:22:50) Headings
⌨️ (0:24:49) Paragraphs
⌨️ (0:26:04) HTML headings, paragraphs and emphasis
⌨️ (0:32:20) Indenting code in HTML
⌨️ (0:34:03) HTML lists
⌨️ (0:38:54) HTML links
⌨️ (0:43:49) Navigating Pages
⌨️ (0:51:20) Images in HTML
⌨️ (0:55:15) Creating tables using HTML
⌨️ (1:03:27) Introducing the Div
⌨️ (1:05:09) Semantic sectioning
⌨️ (1:07:39) Table Tennis Leaderboard: Project prep
⌨️ (1:09:30) Table Tennis Leaderboard: Starting out our project
⌨️ (1:12:44) Table Tennis Leaderboard: table rows and lists
⌨️ (1:16:44) Table Tennis Leaderboard: Sectioning and the figure element
⌨️ (1:25:27) HTML forms
⌨️ (1:26:52) The various input element types in HTML
⌨️ (1:33:17) HTML Inputs exercise 1
⌨️ (1:40:40) HTML Inputs exercise 2
⌨️ (1:43:55) HTML Inputs exercise 3
⌨️ (1:48:57) The select dropdown in HTML
⌨️ (1:54:38) The Inspect tool
⌨️ (1:56:51) Using the data attribute in HTML
⌨️ (1:59:15) Commenting out code
⌨️ (2:01:29) What’s next?

🎉 Thanks to our Champion and Sponsor supporters:
👾 Nattira Maneerat
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Generative AI
6 Views · 3 years ago

Broadcasted live on Twitch -- Watch live at https://www.twitch.tv/bpwnd

Data Analytics
17 Views · 3 years ago

🔥Professional Certificate Course In AI And Machine Learning by IIT Kanpur (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=23AugustTubebuddyExpPCPAIandML&utm_medium=DescriptionFF&utm_source=youtube
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This Logistic Regression video will help you understand how a Logistic Regression algorithm works in Machine Learning. You will learn what is Supervised Learning, what is a classification problem, and the maths behind Logistic Regression. In the end, you will see a demo on how to predict the number present in an image using Logistic Regression in Python.

Below topics are covered in this Logistic Regression Tutorial:
0:00 - 01:52 Introduction
01:52 - 05:35 What is Supervised Learning?
05:35 - 06:10 What is Classification?
06:10 - 15:49 What is Logistic Regression?
15:49 - 16:58 Comparing Linear and Logistic regression
16:58 - 18:40 Logistic regression applications
18:40 - 38:17 Use case - Predicting the number in an image


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#LogisticRegression #LogisticRegressionMachineLearning #LogisticRegressionInPython #MachineLearningPython #MachineLearningAlgorithms #MachineLearnAlgorithms #MachineLearning #Simplilearn

What is Logistics Regression?
Logistic regression is a classification algorithm that is used to predict a binary outcome based on a set of independent variables. Logistic regression uses a logistic function to estimate the probability of a target variable belonging to a particular class or category. It assumes that the dependent variable is binary or dichotomous and there should be no or very little multicollinearity between the predictor variables. Logistic regression

➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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👉 Learn More At:


🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

Generative AI
43 Views · 2 years ago

🔥Business Analyst Masters Program (Discount Coupon - YTBE15):https://www.simplilearn.com/business-analyst-certification-training-course?utm_campaign=23AugustTubebuddyExpBA&utm_medium=DescriptionFF&utm_source=youtube

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This Business Intelligence Tutorial For Beginnersby Simplilearn will take you through the core concept of what is business intelligence. In this video, you will understand the process of business intelligence along with the applications and tools used for business intelligence. In addition, you will also know about the process involved in business intelligence.

Below are the topics we have covered in this business intelligence tutorial for beginners.
00:00 What is Business Intelligence?
02:23 Introduction to Business Intelligence
02:42 Steps Involved In Business Intelligence
06:07 Applications Of Business Intelligence
07:42 Tools for Business Intelligence

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#WhatisBusinessIntelligence #BusinessIntelligenceTutorialforBeginners #BusinessIntelligence #BI #PowerBI #PowerBiForBeginners #BA #BusinessAnalyst #WhatisBusinessAnalytics #BusinessAnalytics #Simplilearn

🔵 Whats Is Business Intelligence?
Business Intelligence, often referred to as BI, is the process of collecting, analyzing, and transforming raw data into actionable insights for business purposes. It helps organizations make informed decisions, enhance performance, and gain a competitive edge in today's dynamic marketplace.

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- Harvard Business Publishing case studies of Pearson, CarMax, EvCard, etc.
- Capstone from 3 domains and 14+ projects
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- Business Analysis
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- Scrum Artifacts
- Statistical Analysis using Excel
- SQL Database
- Python
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Generative AI
16 Views · 2 years ago

10 Hacks to take your ChatGPT prompting skills to the next level! 🔝

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How to use ChatGPT like a pro!

ChatGPT can do so much now. Even more than when it first launched.
Upon launching Chat GPT could give you business ideas but now? Now it can literally replace you CEO if you wanted. So imagine what ChatGPT could do next year.
So if you wanna save time and make your life easier, I’m gonna give you 10 really cool hacks that are literally mind blowing.

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Data Analytics
7 Views · 2 years ago

#AWSCourse #AWSTutorialForBeginners #AWSCertification #Intellipaat

This AWS Course covers all the important skill sets required to get you a job! This video has been designed by top industry experts from around the world and includes multiple real-time projects and important interview questions!

This AWS Tutorial For Beginners will help you understand what is AWS (Amazon Web Services), how AWS became so successful, the services that AWS provides (AWS Suite, Virtualization in AWS, AWS EC2, Amazon ECS, AWS EBS, Amazon FSx, AWS EC2 AMI, AWS CloudWatch, AWS IAM, Amazon Lightsail, Amazon Lambda, Amazon S3), the future of AWS and a demonstration on deploying, in the end, we’ll also be discussing AWS Project on Building AWS Multi-Tier Architecture from Scratch, and AWS Interview Questions for Beginners and Advanced Level. This AWS tutorial video is suitable for those individuals who aspire to become AWS Certified Solution Architects. However, let's move ahead and understand what AWS actually is and what are the services that AWS provides to an organization.

🔵 Following topics are covered in this AWS Course:
00:00:00 - Introduction
00:01:59 - Introduction to Cloud Computing and AWS
00:06:03 - Introduction to Amazon Web Services
00:08:46 - Cloud Computing
00:12:09 - Deployment And Service Models
00:18:35 - AWS Suite
00:24:23 - Virtualization in AWS
00:28:58 - AWS vs Azure vs GCP
00:33:51 - What is EC2
00:38:33 - Regions and Availability Zones
00:41:11 - EC2 Instance Types
00:45:59 - What is AMI?
00:48:28 - Public IP vs Elastic IP
00:51:11 - Elastic Network Interface
01:23:22 - What is EBS?
02:03:37 - What is EFS?
02:05:00 - EBS vs EFS
02:17:55 - What is Fsx?
02:23:15 - Amazon FSx for Windows File Server
02:44:41 - Amazon FSx For Lustre
02:57:24 - Amazon FSx Pricing
03:03:11 - Instance Tenancy and Reserved and Spot Instances
03:12:48 - Introduction to IAM
04:25:36 - Security Token Service
04:28:48 - Introduction to CloudWatch
04:44:01 - CloudWatch Dashboard
04:47:55 - CloudWatch Alarm
05:06:29 - Access Analyzer
05:12:39 - IAM Access Advisor
05:25:04 - IAM Policy Simulator
05:30:50 - CloudWatch EventBridge
05:43:39 - AWS Config.
05:45:25 - Elastic Load Balancer
06:15:13 - Connection Draining
06:28:36 - Sticky Session
06:49:47 - What is Autoscalimg?
07:32:23 - What is Route53?
07:57:14 - AWS Project on Building AWS Multi-Tier Architecture Project from Scratch
10:36:18 - AWS Interview Questions

🔵 What does AWS stand for?
AWS (Amazon Web Services) is a comprehensive, evolving cloud computing platform provided by Amazon that includes a mixture of infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and packaged-software-as-a-service (SaaS) offerings.

🔵 What is the salary of AWS?
If we talk about salary, In India, the salary for AWS cloud professionals ranges between 12 Lakh rupees to 35 lakh rupees, whereas in the US it ranges between 100,000 US dollars to 250,000 US dollars.

🔵 How many AWS Jobs are available?
According to LinkedIn, there are 27,000 cloud jobs available in India, and almost 5Lakh+ jobs are available worldwide.

Do you want to start your journey into the cloud domain? Then, this video on the AWS Certification program is for you.


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We help professionals make the right career decisions, choose trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress, and offer industry-recognized certifications. We also assist corporate clients in upskilling their workforce and keeping them in sync with the changing technology and digital landscape.

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----------------------------
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Please write us to [email protected] or call us at +91-7847955955
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tejaswani
70 Views · 2 years ago

Introduction to .NET | C#.NET Tutorial | Mr. Bangar Raju** For Online Training Registration: https://goo.gl/r6kJbB ► Call: +91-8179191999Join Here For C Language Updates : https://t.me/ClanguageupdatesSubscribe to our channel and hit the bell 🔔🔔🔔 icon to get video updates. 💡 Visit Our Websites For Classroom Training: https://nareshit.in/c-net-training/ For Online Training: https://nareshit.com/c-net-online-training/#c #cSharpDotnet #dotNet #course #Tutorials #Training #Videos--------------------------💡 About NareshIT:"Naresh IT is having 14+ years of experience in software training industry and the best Software Training Institute for online training, classroom training, weekend training, corporate training of Hadoop, Salesforce, AWS, DevOps, Spark, Data Science, Python, Tableau, RPA , Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in USA, Hyderabad, Chennai and Vijayawada, Bangalore India which provides online training across all the locations --------------------------💡 Our Online Training Features: 🎈 Training with Real-Time Experts 🎈 Industry Specific Scenario’s 🎈 Flexible Timings 🎈 Soft Copy of Material 🎈 Share Videos of each and every session.--------------------------💡 Please write back to us at 📧 [email protected]/ 📧 [email protected] or Call us at the USA: ☎+1404-232-9879 or India: ☎ +918179191999--------------------------💡 Check The Below Links► For Course Reg: https://goo.gl/r6kJbB► Subscribe to Our Channel: https://goo.gl/q9ozyG► Circle us on G+: https://plus.google.com/+NareshIT► Like us on Facebook: https://www.facebook.com/NareshIT► Follow us on Twitter: https://twitter.com/nareshitek► Follow us on Linkedin: https://goo.gl/CRBZ5F► Follow us on Instagram: https://goo.gl/3UXYK3
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Data Analytics
17 Views · 2 years ago

🔥Edureka PGP in AI & ML: https://www.edureka.co/post-gr....aduate/machine-learn
This Edureka video on What is Text Classification in Machine Learning gives you a brief overview of text classification. In this quick guide, the following topics will be covered:

1) What is Text Classification?
2) Use Case of Text Classification

Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s

#PythonEdureka #Edureka #textclassification #pythontextclassification #pythonprojects #pythonprogramming #pythontutorial #PythonTraining
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Become an expert in the exciting new world of AI & Machine Learning, get trained in cutting edge technologies and work on real-life industry-grade projects.
----------------------------------------------

Why Machine Learning & AI?

Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.

-----------------------------------------------

PG Program in Machine Learning & AI

1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance

-----------------------------------------------

Program Features

1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking

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Industry Projects

1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction

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Mentors & Instructors

Dr. RBV Subramaanyam
Professor NITW

Dr. DVLN Somayajulu
Professor NITW

Dr. P. Radha Krishna
Professor NITW

Dr. V. Ravindranath
Professor JNTU Kakinada

--------------------------------------------

Is this program for me?

If you’re passionate about AI & ML and want to pursue a career in this field, this program is for you. Whether you’re a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top in a career in AI & ML.

Is there any eligibility criteria for this program?

A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2

Will I get any certificate at the end of the course?

Yes, you will receive a Post-Graduate industry-recognized certificate from E & ICT Academy, NIT Warangal upon successful completion of the course.

For more information, please write back to us at [email protected] or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).




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